纯种与杂种鸡之间肝脏组织基因差异表达及其与肉用性状杂种优势的关系

以白洛克肉鸡 (EE)、中国丝羽乌骨鸡 (CC)、农大褐 (DD)和白来航 (AA) 4个纯种鸡为材料 ,进行 4× 4完全双列杂交 ,共得到 16种杂交组合。应用mRNA差异显示技术 (DDRT PCR)检测了 8周龄纯种和杂种鸡之间肝脏组织基因的差异表达。结果表明 ,在纯种和杂种间共有 8种 15类基因差异表达模式 ,杂种和纯种之间基因表达存在明显的差异。对各种基因差异表达模式与 10个肉用性状的杂种优势率进行相关分析发现 ,表达一致型P8(t1111)与肉用性状的杂种优势率相关不显著 (P >0 0 5) ,这说明杂种优势的形成与某些基因的差异表达有关 ;正交或反交特异表达型P4(t0 10 0、t0 0 10 )与 8周龄个体重、腿肌重、半净膛重、全净膛重相关显著 (P <0 0 5) ,与胸肌重相关极显著 (P <0 0 1) ;单亲特异表达型P1(t10 0 0、t0 0 0 1)与腹脂重相关显著 (P <0 0 5) ,与体斜长相关极显著 (P <0 0 1) ;双亲特异表达型P7(t10 0 1)与腿肌重、翅重、半净膛重、肌间脂宽的杂种优势率相关显著 (P <0 0 5) ;正交或反交单亲表达一致型P2 (t110 0、t0 0 11、t10 10、t0 10 1)与肌间脂宽的杂种优势率相关显著 (P <0 0 5) ;单亲表达一致型P5(t1110、t0 111)胫骨长的杂种优势率相关显著 (P <0 0 5)。     

快速捕获基因的方法——差异显示法

差异显示法是近年来出现的一些快速捕获基因的新方法,它的不断改进与完善,使基因表达的研究提高到一个新的水平。本对该方法的模板、引物、差异显示和鉴定等关键问题进行了论述。     

利用基因芯片技术研究两品种鸡脂肪组织差异表达基因

应用包含9024条鸡cDNA的表达谱芯片,对从两品种鸡脂肪组织抽提及纯化的mRNA进行芯片杂交,并对基因表达谱进行分析,旨在筛选高脂肉鸡和白耳蛋鸡脂肪组织差异表达的基因,探讨造成两品种体脂性状差异的分子生物学机理。结果按差异显著阳性标准分析,共筛选出差异表达基因67条,主要涉及脂类代谢、能量代谢、细胞骨架构成、转录和剪接因子以及蛋白质合成与分解等相关基因,此外,还筛选出一些尚未在GenBank上登陆的序列,推测可能是未知的新基因,它们在鸡脂类代谢的过程所起到的作用还需进一步实验证明。     

克隆未知基因的新方法——mRNA差异显示技术

高等生物大约有１０万个不同的基因,但只有１５％的基因在任何个体的细胞中都表达。选择哪个基因表达决定了生命历程中的许多重要环节,如：细胞的发育、分化、应激、细胞周期调节、衰老和细胞凋亡。因此,对不同类型、不同时期细胞的基因表达情况进行比较研究,可以获得...     

快速、有效筛选新的功能基因——荧光差异显示技术

控制生物性状的基本单位是基因,研究细胞的基因表达一直是分子生物学的重要课题之一。不同细胞间基因表达的差异决定了生命活动的多样性,如发育与分化、内环境稳定、细胞周期调节等。近年来,随着DNA重组技术的发展,已有数万个人类基因被克隆分析,要从如此众多的表达基因中找出引起细胞生理或病理变化的基因并非易事。应用荧光标记的mRNA差异显示技术将有可能在一定程度上起到关键的作用。以总RNA为模板,采用荧光标记的锚定引物,通过逆转录、差异显示PCR反应,经5.6％变性聚丙烯酰胺凝胶电泳分离差异条带,条带清晰、明亮、背景低,各样本间的差异不仅呈有无的变化,亦表现出很多强弱改变;本实验室经过多年的坚持摸索、研究,现已能成功的应用荧光标记差异显示技术,可快速（2d）、敏感、经济有效的筛选各种未知的表达基因。     

喉癌差异表达cDNA序列的分离与初步鉴定

分离和克隆人喉癌中新的相关基因将有助于提示喉癌的易感性与癌变机制。运用ｍＲＮＡ差异显示法对２例成人喉癌组织及配对癌旁正常组织的基因表达进行研究,分离到３５个差异显示片段;用反向Ｎｏｒｔｈｅｒｎ点杂交筛选到６个差异片段,经克隆、测序和匹配分析,得１２条不同ｃＤＮＡ序列,其中４条为新基因序列,另外８条与已知基因高度同源。将１２条ｃＤＮＡ序列固定在膜上,用来自喉癌和配对正常组织的总ｃＤＮＡ探针与其杂交和     

利用差异显示法研究刺参表皮再生相关基因

应用mRNA差异显示法对刺参（Apostichopus japonicus）正常表皮组织和手术后再生的表皮组织的基因的差异表达进行了分析。利用经本实验室摸索改进的mRNA差异显示体系,获得了若干差异片段,将其测序结果在GenBank数据库中比对发现,其中一个差异片段与CD151基因具有较高的同源性,并且采用RT-PCR的方法对差异片段进行了验证。进一步分析表明,该基因可能与表皮的再生密切相关。     

快速、有效筛选新的功能基因——差异显示技术

真核生物mRNA差异显示技术 (DifferentialDisplay)的创立及其对该技术的一系列改进 ,为研究与生殖、发育、细胞分化、癌变、病变、衰老、程序化死亡及抗逆性与抗病性等生命过程有关的基因的差异表达 ,以及有关基因的分子克隆提供了有效工具。本文将简要叙述差异显示技术的优越性、主要缺陷、技术改进等方面的研究进展 ,和具体操作的注意事项。     

鸡胚公母性腺差异表达基因的基因芯片杂交筛选

采用Affymetrix公司鸡基因组芯片对9日龄鸡胚公母性腺总RNA进行了芯片杂交, 并对基因表达谱进行了分析。统计结果显示, 9日龄母鸡性腺表达基因数19 368个, 公鸡性腺表达基因数19 493个; 公母性腺绝对差异表达基因,即公鸡性腺表达而母鸡性腺不表达基因145个, 母鸡性腺表达而公鸡性腺不表达基因189个。绝对差异表达基因功能分类结果显示, 参与细胞组成、细胞加工和分子结合基因占多数, 部分基因参与细胞器组成、代谢加工、生物学调控以及催化反应和细胞信号转导等。值得注意的是, 本研究发现了一些已经报道同性别决定和分化有一定关联的基因, 如ASW、CHD1和SOX9等, 同时也发现了一些未知其同性腺分化和发育有关联的基因和编码假想蛋白的表达序列。进一步分析这些基因和表达序列的生物学功能和表达模式, 将对鸟类性别决定和分化机制的了解提供有益参考。     

鸡基因组差异表达基因翻译起始密码子上下游序列的比较研究

翻译起始调控是基因表达调控的一个关键步骤之一。本文以鸡为研究材料,比较研究了鸡基因组高表达基因和低表达基因翻译起始密码子上下游的碱基序列差异,旨在寻找影响鸡基因表达水平的特异性调控位点。全部3 020个单剪接基因完整的mRNA序列及有详细注释的5＇UTRs序列从Ensembl下载。编写计算机程序,读取每个基因mRNA起始密码子上下游各位点的碱基。研究发现,起始密码子上游-3、-2位点可能是鸡基因组基因表达起始密码子正确识别的关键位点。起始密码子上下游的碱基组成分析发现,高表达基因和低表达基因起始密码子的上游均倾向使用（G＋C）,高表达基因的使用偏倚尤为强烈。序列差异比较发现,高表达基因在-9、-6、-3、＋4位点显著偏向G,在-1、-2、-4、-5位点显著偏向C。低表达基因起始密码子上游使用A、U的频率显著高于低表达基因。在-19位点强烈偏向A,在＋1、＋11、＋14位点强烈偏向U。     

Screening and identification of differentially expressed genes in goose hepatocytes exposed to free fatty acid

The overaccumulation of triglycerides in hepatocytes induces hepatic steatosis; however, little is known about the mechanism of goose hepatic steatosis. The aim of this study was to define an experimental model of hepatocellular steatosis with TG overaccumulation and minimal cytotoxicity, using a mixture of various proportions of oleate and palmitate free fatty acids (FFAs) to induce fat‐overloading, then using suppressive subtractive hybridization and a quantitative PCR approach to identify genes with higher or lower expression levels after the treatment of cells with FFA mixtures. Overall, 502 differentially expressed clones, representing 21 novel genes and 87 known genes, were detected by SSH. Based on functional clustering, up‐ and down‐regulated genes were mostly related to carbohydrate and lipid metabolism, enzyme activity and signal transduction. The expression of 20 selected clones involved with carbohydrate and lipid metabolism pathways was further studied by quantitative PCR. The data indicated that six clones similar to the genes ChREBP, FoxO1, apoB, IHPK2, KIF1B, and FSP27, which participate in de novo synthesis of fatty acid and secretion of very low density lipoproteins, had significantly lower expression levels in the hepatocytes treated with FFA mixtures. Meanwhile, 13 clones similar to the genes DGAT‐1, ACSL1, DHRS7, PPARα, L‐FABP, DGAT‐2, PCK, ACSL3, CPT‐1, A‐FABP, PPARβ, MAT, and ALDOB had significantly higher expression levels in the hepatocytes treated with FFA mixtures. These results suggest that several metabolic pathways are altered in goose hepatocytes, which may be useful for further research into the molecular mechanism of goose hepatic steatosis. J. Cell. Biochem. 111: 1482–1492, 2010. © 2010 Wiley‐Liss, Inc.     

Solid phase subtractive cloning in differentially expressed genes identification

We developed an array-based subtractive hybridization system for one-step high-throughput subtraction. We printed subtractor RNA up to 10.000 times obtaining an excellent contact surface using a little amount of RNA. During hybridization cDNA, common to subtractor and target samples, remains attached to slide immobilized RNA, leaving free in solution target specific cDNA which after retrieval is cloned.     

Identification of differentially expressed genes in distinct skeletal muscles in cattle using cDNA microarray

The 788-gene microarray was manufactured using selected elements from three different cDNA libraries in order to identify molecular processes that determine phenotypic characteristics between loin (M. longissimus thoracis) and round (M. semimembranosus) muscles. Microarray analyses identified 24 differentially expressed genes between the two muscles investigated. Five of the genes were verified by quantitative RT-PCR and three of them were mapped on bovine chromosomes using 5,000 rad bovine radiation hybrid (RH) panel. The map locations indicated that they were mapped in the same chromosomal regions where IMF and growth QTLs were located, suggesting that they are most possible positional candidate genes for the traits.     

Methods for the identification of differentially expressed genes in human post-mortem brain

Microarrays can be used to monitor the expression of thousands of genes simultaneously. This technique requires high-quality RNA which can be extracted from a variety of tissues and cells including post-mortem human brain. Given the vast amount of information obtained from microarray studies, it is critical to establish valid analysis techniques to identify differentially expressed genes. This technical report describes the basic methodology and analyses used to identify such genes in human post-mortem brain tissue.     

Combining SSH and cDNA microarrays for rapid identification of differentially expressed genes

Comparing patterns of gene expression in cell lines and tissues has important applications in a variety of biological systems. In this study we have examined whether the emerging technology of cDNA microarrays will allow a high throughput analysis of expression of cDNA clones generated by suppression subtractive hybridization (SSH). A set of cDNA clones including 332 SSH inserts amplified by PCR was arrayed using robotic printing. The cDNA arrays were hybridized with fluorescent labeled probes prepared from RNA from ER-positive (MCF7 and T47D) and ER-negative (MDA-MB-231 and HBL-100) breast cancer cell lines. Ten clones were identified that were over-expressed by at least a factor of five in the ER-positive cell lines. Northern blot analysis confirmed over-expression of these 10 cDNAs. Sequence analysis identified four of these clones as cytokeratin 19, GATA-3, CD24 and glutathione-S-transferase mu-3. Of the remaining six cDNA clones, four clones matched EST sequences from two different genes and two clones were novel sequences. Flow cytometry and immunofluorescence confirmed that CD24 protein was over-expressed in the ER-positive cell lines. We conclude that SSH and microarray technology can be successfully applied to identify differentially expressed genes. This approach allowed the identification of differentially expressed genes without the need to obtain previously cloned cDNAs.     

Detecting multivariate differentially expressed genes

Background  

Gene expression is governed by complex networks, and differences in expression patterns between distinct biological conditions may therefore be complex and multivariate in nature. Yet, current statistical methods for detecting differential expression merely consider the univariate difference in expression level of each gene in isolation, thus potentially neglecting many genes of biological importance.